| /* |
| * Copyright (c) 2021 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| |
| #pragma once |
| |
| #include "arm_gemm.hpp" |
| #include "common.hpp" |
| |
| namespace arm_conv |
| { |
| namespace depthwise |
| { |
| using arm_gemm::Nothing; |
| |
| enum class DepthwiseMethod |
| { |
| DEFAULT, |
| DEPTHFIRST, |
| PLANAR, |
| }; |
| |
| struct KernelDescription |
| { |
| DepthwiseMethod method = DepthwiseMethod::DEFAULT; |
| std::string name = ""; |
| bool is_default = false; |
| uint64_t cycle_estimate = 0; |
| |
| KernelDescription( |
| DepthwiseMethod method, |
| std::string name, |
| bool is_default, |
| uint64_t cycle_estimate) |
| : method(method), name(name), is_default(is_default), cycle_estimate(cycle_estimate) |
| { |
| } |
| |
| KernelDescription() noexcept {}; |
| }; |
| |
| class IDepthwiseCommon |
| { |
| public: |
| virtual ~IDepthwiseCommon() = default; |
| |
| // Determine the amount of storage space required for the rearranged weights |
| // and bias. |
| virtual size_t get_storage_size(void) const = 0; |
| |
| // Rearrange the weights and biases into a storage buffer. |
| // Accepts a pointer to a buffer into which to store the packed parameters, a |
| // pointer the bias vector (which may be nullptr in the case of no bias) and |
| // a pointer to the array of weights (stored in HWIO order). |
| virtual void pack_parameters( |
| void *buffer, |
| const void *biases, |
| const void *weights, |
| size_t ld_weight_col = 0, |
| size_t ld_weight_row = 0) = 0; |
| |
| // Determine the amount of working space required |
| virtual size_t get_working_size(unsigned int n_threads, unsigned int n_input_channels) const = 0; |
| |
| // Execute the convolution over the specified area of memory. |
| virtual void execute( |
| const void *input, // Pointer to input tensor |
| const void *parameters, // Packed parameters buffer |
| void *output, |
| void *working_space, |
| unsigned int thread_id, |
| unsigned int n_threads) const = 0; |
| |
| virtual void execute( |
| const void *input, |
| size_t ld_input_col, |
| size_t ld_input_row, |
| size_t ld_input_batch, |
| const void *parameters, |
| void *output, |
| size_t ld_output_col, |
| size_t ld_output_row, |
| size_t ld_output_batch, |
| void *working_space, |
| unsigned int thread_id, |
| unsigned int n_threads) const = 0; |
| |
| virtual void execute( |
| unsigned int batches, |
| unsigned int input_height, |
| unsigned int input_width, |
| unsigned int channels, |
| const PaddingValues &, |
| const void *input, |
| size_t ld_input_col, |
| size_t ld_input_row, |
| size_t ld_input_batch, |
| const void *parameters, |
| unsigned int output_height, |
| unsigned int output_width, |
| void *output, |
| size_t ld_output_col, |
| size_t ld_output_row, |
| size_t ld_output_batch, |
| void *working_space, |
| unsigned int thread_id, |
| unsigned int n_threads) const = 0; |
| }; |
| |
| } // namespace depthwise |
| } // namespace arm_conv |